EDUBA @Kay K has had the challenging task to redesigning my Company website to fit the folder and Unix theme. It may seem odd at first but as you scroll down through the site you will see the influence of traditional and fundamental structures, the simplicity of it is what I love. Figured I would share this here and share his hard work as I love the idea of making a website folder based, because as you know, I love my folders. EDUBA

UPDATE: SHE GOT INTO THE NEXT ROUND THANKYOU ALL SO MUCH. Another round of voting this week if you want it keep voting for us ! Completely unrelated to AI. My stepdaughter is in a competition to meet Jeff corwin. (My childhood hero when it came to animals) And she just needs a vote in a competition everyday for the next few days. Completely free to cast one vote. So if anyone is willing to just click the link and cast a vote that would be super nice. Totally don't have to as I understand this is completely separate from AI lol https://jr-ranger.org/2026/wylder-533c

For those of you who've been following me on social media for a while, you've heard me say this over and over: building your own agent frameworks is a waste of time. Stop doing it. Stop paying people to do it. Stop learning how to do it. (Unless you like local projects, that's fun) Anthropic just published this today: https://www.anthropic.com/engineering/managed-agents Here's what it is in plain terms. Managed Agents is a hosted service where Anthropic runs the entire agent infrastructure for you. The loop that calls Claude, the sandbox where code runs, the context management, crash recovery, security, scaling. All of it. You define what the agent should do (system prompt, tools, connections to your systems) and they handle the rest. The key line from their own engineering team: "Harnesses encode assumptions about what Claude can't do on its own. Those assumptions need to be frequently questioned because they go stale as models improve." They gave a specific example. They built a workaround into their harness because Sonnet 4.5 would quit tasks early when it sensed its context limit approaching. When they ran the same harness on Opus 4.5, the problem was gone. The fix became dead weight. One model release made their own engineering work obsolete. Now think about what that means for every startup and every freelancer building custom agent harnesses and selling them to clients. Every assumption they baked into their code is a bet against the next model release. And the frontier labs are shipping new models faster than anyone can maintain a harness. This is the thesis. Your value lives above whatever just got commoditized. The infrastructure layer of agents just got commoditized. The thinking about what to build, why to build it, and how to structure the work around it did not. That's what we teach here. That's why we focus on the 60/30/10 framework, on understanding which layer a problem belongs on, on prompt architecture and workflow design.

You just saw what happens between one line of Python and the hardware. Vote below, then tell us in the comments: what is one thing you assumed about how code works that this video shifted?

Tell us three things: 1. What you do (job, industry, student, career-changer, whatever) 2. What brought you to Clief Notes 3. One thing you're trying to figure out right now related to computing or AI I'll respond to every single one. And read each other's intros too because the person who's stuck on the same problem as you might already be in this thread. I'll go first I am Jake, I have been working in tech for 15 Years, building with Generative AI for 3 Years straight now! Excited to teach and learn! That's it. Simple, scannable, gives you data on who's joining and what they need, and keeps the feed clear for content that retains people past week one.